Lifeboat Foundation

Tesla (NASDAQ: TSLA) may be slowly making its way toward Ark Invest’s Golden Goose scenario, which involves a $22,000 price target pre-split.

At the beginning of 2020, ARK Invest released its updated TSLA valuation based on new research it had collected at the time. ARK analysts described ten difference scenarios Tesla could take leading up to 2024 and gave each one a price target.

Tesla seems to be on track to hit the scenario ARK Invest labeled “The High Functioning EV Company” which has a price target of $3,400. Keep in mind that ARK released these estimates before Tesla announced the stock split. In this scenario, Tesla manages to lower costs and build factories efficiently, but doesn’t launch its autonomous network.

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The California PUC granted Waymo a permit to operate 24 hours/day in San Francisco taking select members of the public for rides with no safety driver in the vehicle. Waymo says it will begin this shortly. This comes on the heels of them expanding such service in Phoenix, as reported in my article on how the death of self-driving cars has been greatly exaggerated earlier this week.

This service will be with “trusted testers” rather than members of the broad public that can ride in Chandler and Phoenix, Arizona. Limiting ridership can be useful when demand is higher than supply, and also to learn from people who ride it repeatedly, but it has another less noble purpose, namely that riders can be under NDA and not exposing any problems to the public. (Waymo previously has required this of “trusted testers” but says they will very quickly transition to not needing an NDA.) Once a service allows members of the general public to ride with no conditions, it’s a declaration that “we’re confident we are not going to do anything embarrassing.” Cruise, which is Waymo’s rival in SF, has been serving the public for some time, and on Nov 16 announced they will be doing daytime rides with GM employees. Cruise had previously only been operating with passengers after 10pm on much calmer streets.

Waymo also announced it will deploy in Los Angeles soon (it has been testing with staff there.) In LA they also revealed their new robotaxi model, built by Geely under the Zeekr brand in China. I will have more comment when I get to see it, though I am disappointed the front seats don’t swivel to allow more social settings when a group of more than 2 go for a ride. (Facing backwards is less comfortable for some, but also safer in a forward crash.) California Public Utilities Commission (CPUC), in ongoing efforts to support transportation innovation, today authorized Waymo LLC to participate in California’s pilot program to provide “driverless” autonomous vehicle (AV) passenger service to the public. Waymo joins the CPUC’s Driverless Pilot program, in which passengers can ride in a test AV that operates without a driver in the vehicle. Waymo may not charge passengers for any rides in test AVs.

The National Robotarium at Heriot-Watt University is focused on the development and testing of robotics and AI solutions By Hollie Tye Designing and manufacturing assisted living technologies, Pressalit were asked to contribute to the work being carried out by the Ambient Assisted Living Lab (AAL) at Heriot-Watt University Demonstrating how assisted living technologies can help transform lives, solutions […].

Galactica was supposed to help “organize science.” Instead, it spewed misinformation.

In the first year of the pandemic, science happened at light speed. More than 100,000 papers were published on COVID in those first 12 months — an unprecedented human effort that produced an unprecedented deluge of new information.

It would have been impossible to read and comprehend every one of those studies. No human being could (and, perhaps, none would want to).

Spiraling costs, closed facilities, capacity issues, staff burnout, staff shortages, lots of chaos — sounds like an ailing industry — and that industry is healthcare. Can artificial intelligence help mend some of the problems faced by hospitals and healthcare providers? There has been progress on that front — not fast enough, but progress nonetheless.

While interest in healthcare AI is high, “the level of acculturation of C-level executives is lagging, especially for organizations that would need it the most — pharmas, medtechs and hospitals,” a recent Capgemini report relates. The problem, the study’s authors relate, is data. “Enhancing the patient care pathway and improving care delivery remain on the top of the organizations’ agendas,” according to the report’s team of coauthors, led by Charlotte Pierron-Perlès. However, only about a third of healthcare organizations surveyed by Capgemini prioritize the availability of patient information. “We do not see major progress from 2021 [the year of the previous study].”

The good news is that many healthcare providers are stepping up their AI work. “The healthcare industry is now starting to implement AI and machine learning solutions at increased scale and sophistication,” says Tony Ambrozie, CIO at Baptist Health South Florida. “AI and machine learning will augment their ability to make sense of the vast amounts of data available.”

A new AI system reconstructs images from MRI data two-thirds more accurately than older systems. This is made possible by more data and diffusion models.

Can AI models decode thoughts? Experiments with large language models, such as those by a Meta research group led by Jean-Remi King, attempt to decode words or sentences from MRI data using language models.

Recently, a research group demonstrated an AI system that decodes MRI data from a person watching a video into text describing some of the visible events.

At the nanoscale, the laws of classical physics suddenly become inadequate to explain the behavior of matter. It is precisely at this juncture that quantum theory comes into play, effectively describing the physical phenomena characteristic of the atomic and subatomic world. Thanks to the different behavior of matter on these length and energy scales, it is possible to develop new materials, devices and technologies based on quantum effects, which could yield a real quantum revolution that promises to innovate areas such as cryptography, telecommunications and computation.

The physics of very small objects, already at the basis of many technologies that we use today, is intrinsically linked to the world of nanotechnologies, the branch of applied science dealing with the control of matter at the nanometer scale (a nanometer is one billionth of a meter). This control of matter at the nanoscale is at the basis of the development of new electronic devices.

Among these, memristors are considered promising devices for the realization of new computational architectures emulating functions of our brain, allowing the creation of increasingly efficient computation systems suitable for the development of the entire artificial intelligence sector, as recently shown by Istituto Nazionale di Ricerca Metrologica (INRiM) researchers in collaboration with several international universities and research institutes.